A quantification method for numerical dissipation in quasi-DNS and under-resolved DNS, and effects of numerical dissipation in quasi-DNS and under-resolved DNS of turbulent channel flows

Komen, E.M.J.; Camilo, Leonardo; Shams, A.; Geurts, Bernardus J.; Koren, Barry

doi:10.1016/j.jcp.2017.05.030

Cited by 70 publications

(41 citation statements)

References 41 publications

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“…PISO exhibits a higher level of fluctuations of the streamwise velocity and smaller level of fluctuations for the other velocity components. Results similar to the ones obtained here are reported also in Komen et al [17]; in general the over-prediction of the rms of the streamwise velocity component (and under-prediction of the rms of the other components) is due to an abnormal energy redistribution through the pressure-strain correlation of turbulent fluctuations among the three directions. The results are even worse in case of uDNS.…”

Section: Les Of Turbulent Poiseuille Flow: Physical Analysissupporting

confidence: 91%

“…A geometric growth function is used in which the first off-the-wall cell centroid is at ∆z + ≈ 0.34. In order to guarantee a minimum of eight grid points within z + = 10 a stretching ratio of 7% is used, following Komen et al [17].…”

Section: Les Of Turbulent Poiseuille Flow: Physical Analysismentioning

confidence: 99%

“…A first set of cases, hereinafter baseline cases (RK4M, PISOM, PISONM, PISOuDNS), use the horizontal grid spacing constraints proposed by Choi and Moin [30], which are commonly used in the literature of wall-bounded turbulence using LES [24,[31][32][33]. Notice that an additional control group composed of three fine grid cases (RK4Mf, PISOMf, PISONMf), using the grid spacing constraints of Komen et al [17], is studied in order to follow the recommendations made by the aforementioned work regarding resolved LES using commercial codes. Figure 4 shows the non-dimensional velocity profiles obtained with the two algorithms and different sgs models, together with the uDNS and the DNS reference profiles.…”

Section: Les Of Turbulent Poiseuille Flow: Physical Analysismentioning

confidence: 99%

“…A more accurate account on the over-dissipative properties of pisoFoam and other commercial codes was made by Komen et al [17]. An analysis of the turbulent kinetic energy budget shows that for the resolved and residual dissipation rates there is only an 8% difference, for quasi-DNS turbulent channel flows.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Solution Algorithms for LES of Turbulent Flows Using OpenFOAM

Castaño

Petronio²,

Armenio

2019

Fluids

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We validate and test two algorithms for the time integration of the Boussinesq form of the Navier—Stokes equations within the Large Eddy Simulation (LES) methodology for turbulent flows. The algorithms are implemented in the OpenFOAM framework. From one side, we have implemented an energy-conserving incremental-pressure Runge–Kutta (RK4) projection method for the solution of the Navier–Stokes equations together with a dynamic Lagrangian mixed model for momentum and scalar subgrid-scale (SGS) fluxes; from the other side we revisit the PISO algorithm present in OpenFOAM (pisoFoam) in conjunction with the dynamic eddy-viscosity model for SGS momentum fluxes and a Reynolds Analogy for the scalar SGS fluxes, and used for the study of turbulent channel flows and buoyancy-driven flows. In both cases the validity of the anisotropic filter function, suited for non-homogeneous hexahedral meshes, has been studied and proven to be useful for industrial LES. Preliminary tests on energy-conservation properties of the algorithms studied (without the inclusion of the subgrid-scale models) show the superiority of RK4 over pisoFoam, which exhibits dissipative features. We carried out additional tests for wall-bounded channel flow and for Rayleigh–Bènard convection in the turbulent regime, by running LES using both algorithms. Results show the RK4 algorithm together with the dynamic Lagrangian mixed model gives better results in the cases analyzed for both first- and second-order statistics. On the other hand, the dissipative features of pisoFoam detected in the previous tests reflect in a less accurate evaluation of the statistics of the turbulent field, although the presence of the subgrid-scale model improves the quality of the results compared to a correspondent coarse direct numerical simulation. In case of Rayleigh–Bénard convection, the results of pisoFoam improve with increasing values of Rayleigh number, and this may be attributed to the Reynolds Analogy used for the subgrid-scale temperature fluxes. Finally, we point out that the present analysis holds for hexahedral meshes. More research is need for extension of the methods proposed to general unstructured grids.

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Section: Les Of Turbulent Poiseuille Flow: Physical Analysissupporting

confidence: 91%

Section: Les Of Turbulent Poiseuille Flow: Physical Analysismentioning

confidence: 99%

Section: Les Of Turbulent Poiseuille Flow: Physical Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessment of Solution Algorithms for LES of Turbulent Flows Using OpenFOAM

Castaño

Petronio²,

Armenio

2019

Fluids

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“…Although the theoretical background of the implicit LES is not entirely clarified and the approach remains controversial, many authors recognize it as a viable option for LES simulations and also for quasi-DNS computations. 21,23 The second consequence of the rather blurred interface between the physical and numerical dissipation of the smallest scales in LES studies is relevant for the present work, as it allows us to skip the rather complex mathematics behind the derivation of LES equations and subgrid-scale models. Thus, instead of a precise mathematical definition we give a rather vague description of LES subgrid-scale models, which are considerably different in various numerical schemes.…”

Section: Iib Filtering Of Les Equationsmentioning

confidence: 99%

Direct Numerical Simulation and Wall-Resolved Large Eddy Simulation in Nuclear Thermal Hydraulics

2019

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The critical review discusses the most accurate methods for description of turbulent flows: the computationally very expensive direct numerical simulation (DNS) and slightly less accurate and slightly less expensive large eddy simulation (LES) methods. Both methods have found their way into nuclear thermal hydraulics as tools for studies of the fundamental mechanisms of turbulence and turbulent heat transfer. In the first section of this critical review, both methods are briefly introduced in parallel with the basic properties of the turbulent flows. The focus is on the DNS method, the so-called quasi-DNS approach, and the coarsest turbulence modeling approach discussed in this work, which is still on the very small-scale, wall-resolved LES. Other, coarser turbulence modeling approaches (such as wall-modeled LES, Reynolds Averaged Navier-Stokes (RANS)/LES hybrids, or RANS) are beyond the scope of the present work. Section II answers the question: "How do the DNS and LES methods work?" A short discussion of the computational requirements, numerical approaches, and computational tools is included. Section III is about the interpretation of the DNS and LES results and statistical uncertainties. Sections IV and V give some examples of the DNS and wall-resolved LES results relevant for nuclear thermal hydraulics. The last section lists the conclusions and some of the challenges that might be tackled with the most accurate techniques like DNS and LES.

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Using Numerical Dissipation Rate and Viscosity to Assess Turbulence‐Related Data Accuracy – Part 1: Experimental Setup

Turek

Jegla

Dohnal

et al. 2022

Chemie Ingenieur Technik

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This is the first part of a two‐part paper focusing on the assessment of accuracy of turbulence‐related data from computational fluid dynamics (CFD) simulations using effective numerical dissipation rate and effective numerical viscosity. Setup of the CFD cases replicating a swirling pipe flow experiment from literature, for which turbulence‐related data measured via laser Doppler anemometry (LDA) had been reported, is presented. The way effective numerical dissipation rate and effective numerical viscosity were obtained for each mesh cell is also discussed. The results of the study are presented in the second part of this series.

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A quantification method for numerical dissipation in quasi-DNS and under-resolved DNS, and effects of numerical dissipation in quasi-DNS and under-resolved DNS of turbulent channel flows

Cited by 70 publications

References 41 publications

Assessment of Solution Algorithms for LES of Turbulent Flows Using OpenFOAM

Assessment of Solution Algorithms for LES of Turbulent Flows Using OpenFOAM

Direct Numerical Simulation and Wall-Resolved Large Eddy Simulation in Nuclear Thermal Hydraulics

Using Numerical Dissipation Rate and Viscosity to Assess Turbulence‐Related Data Accuracy – Part 1: Experimental Setup

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